将数据并行程序编译为大规模并行MIMD系统的消息传递程序

T. Brandes
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引用次数: 16

摘要

目前在MIMD系统中占主导地位的消息传递编程范式难以使用且容易出错。避免显式通信的一种方法是数据并行编程模型。该模型代表单个控制线程、全局命名空间和松散同步并行计算。它易于使用,并且数据并行程序通常可伸缩性很好。基于现有的数据并行Fortran程序编译系统的经验,展示了如何设计这样的编译系统,以及需要哪些优化技术才能使数据并行程序与使用消息传递的手写程序竞争。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Compiling data parallel programs to message passing programs for massively parallel MIMD systems
The currently dominant message-passing programming paradigm for MIMD systems is difficult to use and error prone. One approach that avoids explicit communication is the data-parallel programming model. This model stands for a single thread of control, global name space, and loosely synchronous parallel computation. It is easy to use and data-parallel programs usually scale very well. Based on the experiences of an existing compilation system for data-parallel Fortran programs it is shown how to design such a compilation system and which optimization techniques are required to make data-parallel programs competitive with their handwritten counterparts using message-passing.<>
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